What happens when we delegate decisions to an algorithm? How does a machine know when a customer is angry? If robots operate on logic, how do they deal with human behaviour that is frequently irrational, illogical or unpredictable?

In the first part of this two-part episode of The Behaviour Business podcast, I speak to experts in technology, AI and data about what recent advances in machine learning and artificial intelligence mean for business. And what behavioural science can tell us about designing products and services that work for humans, as well as robots.

You'll hear insights from Richard Chataway's interviews with these leading experts:

- David Chalmers, former global product manager at Google, on the implications for humans being separated by walls of technology;
- Julian Harris, former Head of AI Technology Research at CognitionX, on how a teacher can be fired by an algorithm, despite no-one knowing why;
- Jason Smith, data innovation lead at Experian, on how biased data leads to biased results (aka 'garbage in, garbage out').

Listen if you want to learn how to succeed using technology in business by better understanding how humans behave - and how we can design products and services accordingly.

In the episode I talk about a clip of Professor Frans De Waal's research with capuchin monkeys, which you can view here (the monkeys don't live in these cages - they have a large compound - and receive plentiful grapes after the experiment. Rest assured, no monkeys were harmed in the making of this video): https://www.youtube.com/watch?v=meiU6TxysCg&t=21s

The research on parole decisions referenced is by Professor Sendhil Mullainathan and colleagues, and accessible here: https://cs.stanford.edu/~jure/pubs/bail-qje17.pdf

Buy 'The Behaviour Business' book in print, ebook and audiobook format here: https://amzn.to/37e3Mwc